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Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study

Received: 7 January 2019     Accepted: 19 February 2019     Published: 12 March 2019
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Abstract

Green manufacturing is the process of producing product by minimizing natural resource use, reducing environmental pollution or wastes. Garment industry in Bangladesh plays a vital role in the country’s economy. But most of these industries are indifferent to environmental regulation. A huge amount of river water is being polluted daily by the dyeing sections. So it is necessary to treat the water to a standard level before discharge. The purpose of this research is to establish an approach for the modification of dyeing section of textile industries. Before going to the approach a survey with some questionnaire was performed to identify drivers and barriers regarding green manufacturing implementation. Then these drivers and barriers were ranked with fuzzy TOPSIS tool. A system model was followed for making an approach of green manufacturing. ETP (Effluent Treatment plant) plant is suggested along with an existing dyeing process for treating waste water.

Published in International Journal of Economics, Finance and Management Sciences (Volume 7, Issue 1)
DOI 10.11648/j.ijefm.20190701.15
Page(s) 21-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Green Manufacturing, Drivers, Barriers, System Model, Effluent Treatment Plant, Fuzzy

References
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[2] Masupha, T. M. (2007) ‘Water management at a textile industry: a case study in Lesotho’, A Research Report, 1- 89.
[3] Talapatra, S., Uddin, M. K., & Rahman, M. H. (2018). Development of an Implementation Framework for Integrated Management System Based on the Philosophy of Total Quality Management. American Journal of Industrial and Business Management, 8(6), 1507-1516.
[4] Berns, M., Bussey, K., Murray, S., and Vismans D. (2011) ‘Sustainability: the 'embracers' seize advantage’, Research Report by MIT Sloan Management Review and The BCG, 1-28.
[5] Mittal, V. K., and Sangwan, K. S. (2014) ‘Development of a model of barriers to environmentally conscious manufacturing implementation’, International Journal of Production Research, 52(2), 584-594.
[6] Mittal, V. K., and Sangwan, K. S. (2014) ‘Modelling Drivers for Successful Adoption of Environmentally Conscious Manufacturing’, Journal of Modelling in Management, 9(2), 127-140.
[7] Singh, A., Singh, B., and Dhingra, A. K. (2012) ‘Drivers and barriers of green manufacturing practices: a survey of Indian industries’, International Journal of Engineering Sciences1(1), 5-19.
[8] Singh, P. J, Mittal, V. K., and Sangwan, K. S. (2013) ‘Development and validation of performance measures for environmentally conscious manufacturing’, International Journal of Services and Operations Management, 14(2), 197-220.
[9] Govindan, K., Diabat, A., and Shankar, K. M. (2015) ‘Analyzing the drivers of green manufacturing with fuzzy approach, Journal of cleaner production, 96, 182-193.
[10] Duflou, J. R., Sutherland, J. W., Dornfeld, D., Herrmann, C., Jeswiet, J., Kara, S., Hauschild, M., and Kellens, K. (2012) ‘Towards energy and resource efficient manufacturing: a processes and systems approach, CIRP Annals - Manufacturing Technology, 61(2), 587-609.
[11] Ariffin, R., Ghazilla, R., Sakundarini, N., Hanim, S., Rashid, A., Ayub, N. S., Olugu, E. U., and Musa, S. N., (2015) ‘Drivers and barriers analysis for green manufacturing practices in Malaysian SMEs: a preliminary findings’, 12th Global Conference on Sustainable Manufacturing,26, 658 – 663.
[12] Post, J. E., and Altma, B. W. (1994) ‘Managing the environmental change process: barriers and opportunities’, Journal of Organizational Change Management, 7(4), 64 – 81.
[13] Luken, R., and Rompaey, F. V. (2008) ‘Drivers for and barriers to environmentally sound technology adoption by manufacturing plants in nine developing countries’, Journal of Cleaner Production, 16(1), 67-77.
[14] Wang, J. W., Cheng, C. H., and Huang, K. C. (2009) ‘Fuzzy hierarchical TOPSIS for supplier selection’, Applied Soft Computing, 9(1), 377-386.
[15] Jiang, Y. P., Fan, Z. P, and Ma, J. (2008)‘A Method for group decision making with multigranularity linguistic assessment information’, Information Sciences, 178(4), 1098–1109.
[16] Boran, F. E., Genc, S., Kurt, M., and Akay, D. (2009) ‘A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method’, Expert Systemswith Applications, 36(8), 11363- 11368.
[17] Deif, A. M. (2011) ‘A system model for green manufacturing’, Advances in Production Engineering and Management,6(1), 27- 36.
[18] Kapdan, I. K., and Alparslan, S. (2005) ‘Application of anaerobic-aerobic sequential treatment system to real textile wastewater for color and COD removal’, Enzyme and Microbial Technology, 36(2–3), 273–279.
[19] Somasiri, W., Li, X. F., Ruan, W. Q., and Chen Jian, C. (2008) ‘Evaluation of the efficacy of upflow anaerobic sludge blanket reactor in removal of color and reduction of COD in real textile wastewater’, Bioresource Technology,99(9), 3692–3699.
[20] Yang, Q., Li, C., Li, H., Li, Y., and Yu, N. (2009) ‘Degradation of synthetic reactive azo dyes and treatment of textile wastewater by a fungi fonsortium reactor’, Biochemical Engineering Journal, 43(3), 225–230.
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Cite This Article
  • APA Style

    Sumaiya Shahria, Mst. Nazma Sultana, Md. Tariquzzaman, Md. Habibur Rahman. (2019). Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study. International Journal of Economics, Finance and Management Sciences, 7(1), 21-28. https://doi.org/10.11648/j.ijefm.20190701.15

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    ACS Style

    Sumaiya Shahria; Mst. Nazma Sultana; Md. Tariquzzaman; Md. Habibur Rahman. Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study. Int. J. Econ. Finance Manag. Sci. 2019, 7(1), 21-28. doi: 10.11648/j.ijefm.20190701.15

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    AMA Style

    Sumaiya Shahria, Mst. Nazma Sultana, Md. Tariquzzaman, Md. Habibur Rahman. Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study. Int J Econ Finance Manag Sci. 2019;7(1):21-28. doi: 10.11648/j.ijefm.20190701.15

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  • @article{10.11648/j.ijefm.20190701.15,
      author = {Sumaiya Shahria and Mst. Nazma Sultana and Md. Tariquzzaman and Md. Habibur Rahman},
      title = {Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study},
      journal = {International Journal of Economics, Finance and Management Sciences},
      volume = {7},
      number = {1},
      pages = {21-28},
      doi = {10.11648/j.ijefm.20190701.15},
      url = {https://doi.org/10.11648/j.ijefm.20190701.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20190701.15},
      abstract = {Green manufacturing is the process of producing product by minimizing natural resource use, reducing environmental pollution or wastes. Garment industry in Bangladesh plays a vital role in the country’s economy. But most of these industries are indifferent to environmental regulation. A huge amount of river water is being polluted daily by the dyeing sections. So it is necessary to treat the water to a standard level before discharge. The purpose of this research is to establish an approach for the modification of dyeing section of textile industries. Before going to the approach a survey with some questionnaire was performed to identify drivers and barriers regarding green manufacturing implementation. Then these drivers and barriers were ranked with fuzzy TOPSIS tool. A system model was followed for making an approach of green manufacturing. ETP (Effluent Treatment plant) plant is suggested along with an existing dyeing process for treating waste water.},
     year = {2019}
    }
    

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    T1  - Prioritizing Drivers and Barriers for Applying Green Manufacturing with a System Model Approach: A Case Study
    AU  - Sumaiya Shahria
    AU  - Mst. Nazma Sultana
    AU  - Md. Tariquzzaman
    AU  - Md. Habibur Rahman
    Y1  - 2019/03/12
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ijefm.20190701.15
    DO  - 10.11648/j.ijefm.20190701.15
    T2  - International Journal of Economics, Finance and Management Sciences
    JF  - International Journal of Economics, Finance and Management Sciences
    JO  - International Journal of Economics, Finance and Management Sciences
    SP  - 21
    EP  - 28
    PB  - Science Publishing Group
    SN  - 2326-9561
    UR  - https://doi.org/10.11648/j.ijefm.20190701.15
    AB  - Green manufacturing is the process of producing product by minimizing natural resource use, reducing environmental pollution or wastes. Garment industry in Bangladesh plays a vital role in the country’s economy. But most of these industries are indifferent to environmental regulation. A huge amount of river water is being polluted daily by the dyeing sections. So it is necessary to treat the water to a standard level before discharge. The purpose of this research is to establish an approach for the modification of dyeing section of textile industries. Before going to the approach a survey with some questionnaire was performed to identify drivers and barriers regarding green manufacturing implementation. Then these drivers and barriers were ranked with fuzzy TOPSIS tool. A system model was followed for making an approach of green manufacturing. ETP (Effluent Treatment plant) plant is suggested along with an existing dyeing process for treating waste water.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • Department of Textile Engineering, Khwaja Yunus Ali University, Sirajganj, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

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